Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning.

ABSTRACT: Although it is well known that the morphology of Gram-negative rods changes on exposure to antibiotics, the morphology of antibiotic-resistant bacteria in the absence of antibiotics has not been widely investigated. Here, we studied the morphologies of 10 antibiotic-resistant strains of Escherichia coli and used bioinformatics tools to classify the resistant cells under light microscopy in the absence of antibiotics. The antibiotic-resistant strains showed differences in morphology from the sensitive parental strain, and the differences were most prominent in the quinolone-and β-lactam-resistant bacteria. A cluster analysis revealed increased proportions of fatter or shorter cells in the antibiotic-resistant strains. A correlation analysis of morphological features and gene expressi

SUBMITTER: Ikebe M 

PROVIDER: S-EPMC11446759 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature